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Computer Science Statistics Jobs in Minnesota (NOW HIRING)

Jostens

Data Scientist

Minneapolis, MN · Hybrid

Education. Undergraduate degree in Computer Science, Machine Learning, Applied Statistics, Mathematics or a relevant Engineering discipline. Preferred masters level degree in a quantitative ...

Jostens

Data Scientist

Minneapolis, MN · On-site +1

Education. Undergraduate degree in Computer Science, Machine Learning, Applied Statistics, Mathematics or a relevant Engineering discipline. Preferred masters level degree in a quantitative ...

SynergisticIT

Entry-Level React Developer

Blaine, MN · On-site

Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry We welcome candidates with all visas and citizens to ...

SynergisticIT

Java programmer

Saint Augusta, MN · On-site

Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or anyone looking to make their career in IT Industry We also assist in filing for STEM extension and ...

Thomson Reuters

Lead Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

Possess a Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, Business Analytics, or a related field; a Master's degree is a strong plus. * Have 8+ years of progressive ...

THOMSON REUTERS

Lead Data Engineer

Eagan, MN · Hybrid

$116K - $140K/yr

Possess a Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, Business Analytics, or a related field; a Master's degree is a strong plus. * Have 8+ years of progressive ...

Best Buy

Associate Data Scientist, Marketing

Richfield, MN · Hybrid

$61K - $61K/yr

Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics ... statistical models. * 2+ years of experience using Python, R, and SQL * 1+ years of experience ...

Purposebrands

BI Analyst II

Woodbury, MN · On-site

$90K - $115K/yr

Background and Strengths * BS/BA in computer science, statistics, mathematics, business administration, economics, or related field with a focus on logic and quantitative analysis. * 3-5 years of ...

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Computer Science Statistics information

What is the highest paying job with a statistics degree?

Data scientist roles are among the highest paying jobs for individuals with a statistics degree, often offering six-figure salaries. These positions typically require strong analytical skills, proficiency in programming languages like Python or R, and experience with machine learning and data visualization tools.

What is a Computer Science Statistics job?

A Computer Science Statistics job involves applying statistical methods and data analysis techniques to solve problems in computing, artificial intelligence, and software development. Professionals in this field work with large datasets, develop predictive models, and optimize algorithms for machine learning, cybersecurity, and data science applications. They may work in industries such as finance, healthcare, or technology, using statistical reasoning to enhance decision-making and efficiency. Strong programming skills, knowledge of probability theory, and experience with data visualization are typically required.

What jobs do most CS majors get?

Computer Science majors often pursue roles such as software developers, data analysts, systems analysts, cybersecurity specialists, and database administrators. These positions typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL, and often offer entry-level opportunities in tech companies, finance, healthcare, and other industries.

Is computer science dead due to AI?

Computer science remains a vital field for roles involving AI development, data analysis, and software engineering. AI advances create new opportunities for computer scientists to develop algorithms, machine learning models, and innovative technologies, making the discipline more relevant than ever.

Is statistics useful for computer science?

Statistics is highly useful for computer science, especially in data analysis, machine learning, and algorithm development. It provides essential tools for interpreting data, making predictions, and optimizing systems, which are core skills in many computer science roles.

What are the most common projects or tasks for professionals in Computer Science Statistics roles?

Professionals in Computer Science Statistics roles frequently work on projects involving data analysis, predictive modeling, and the development of algorithms to extract insights from large datasets. Their typical responsibilities include cleaning and preparing data, designing and running statistical tests, coding custom analytics solutions, and visualizing results for reports or presentations. Collaboration with teams such as data engineers, software developers, and business analysts is common to ensure that statistical models effectively address real-world business problems. This role offers opportunities to work across diverse industries, allowing for continual learning and skill development.

What are the key skills and qualifications needed to thrive in the Computer Science Statistics position, and why are they important?

To excel in a Computer Science Statistics role, a strong background in both statistical analysis and computer science principles, usually backed by a degree in a related field, is essential. Expertise in programming languages like Python or R, experience with statistical software, and familiarity with databases or machine learning libraries are highly valued. Analytical thinking, attention to detail, and effective communication are key soft skills that differentiate top performers in this position. Mastery of these skills enables professionals to accurately interpret data, develop robust analytical solutions, and clearly convey complex findings to both technical and non-technical stakeholders.

What are popular job titles related to Computer Science Statistics jobs in Minnesota? For Computer Science Statistics jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Computer Science Statistics jobs in Minnesota look for? The top searched job categories for Computer Science Statistics jobs in Minnesota are:
What cities in Minnesota are hiring for Computer Science Statistics jobs? Cities in Minnesota with the most Computer Science Statistics job openings:
Computer Science Statistics jobs near you
Data Scientist

Data Scientist

Jostens

Minneapolis, MN • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Develop and maintain predictive and machine learning models, including supervised and unsupervised algorithms and recommender systems.

  • Integrate, prepare, and analyze large internal and external datasets to gain insights into consumer behaviors and preferences.

  • Present data-driven insights and recommendations to various business groups and stakeholders across strategic, tactical, and operational levels.

Jostens rating

5.5

Company rating: 5.5 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

513th of 527 rated manufacturers

Job description

DATA SCIENTIST
HYBRID | ONSITE AT JOSTENS’ MINNEAPOLIS HEADQUARTERS 3 DAYS/WEEK
ABOUT YOU:
This role is a member of the Data Science team, which is focused on developing advanced analytic models to understand consumer behaviors. The incumbent works directly with various business groups across the organization (Yearbook, Scholastic and College) to understand needs for advanced analytics and insights and recommend solutions to those needs.
YOU WILL:
  • Support. Develop presentations around insights and tell compelling stories with the data, deliver results to constituents at different levels: strategic, tactical, operational and across business units (Yearbook, Scholastic, College).
  • Update and Maintain. Integrate and prepare large, varied datasets, both internal consumer behaviors as well as external and 3rd party data sources such as consumer demographics, to gain a holistic understanding of consumer behaviors and preferences.
  • Develop. Build and maintain predictive and machine learning models by using techniques such as logistic regression, gradient boosted trees, random forest and recurrent neural networks. Build and maintain unsupervised learning algorithms such as consumer segmentations using techniques such as k-means and KNN. Create and maintain recommender systems such as next best action, product affinities, likeliness of upsell at checkout, etc. Develop and maintain systems to continuously monitor model performance, such as model and feature drift.
  • Advise. Oversee the implementation of the models into production AWS/Snowflake environments – ensure models are scoring properly.
  • Strengthen. Analyze complex consumer data such as purchase transactions, demographic/psychographics, website behavior and email marketing data. Dig beneath the surface of a problem to ascertain the “Why” in the backend data, uncover the true reasons data patterns and skews may be showing up, and convert those findings into clearly understandable, data-backed recommendations, to influence future member engagement strategies.
  • Help. Recommend campaign test designs and experiments to test hypotheses, such as A/B testing, champion/challenger testing, etc. Collaborate with the data engineering team to gather the right data from the right systems, as well as make recommendations for continuous data improvement and cleanliness pipelines.
  • Typical/expected % of overnight travel. None to Minimal.
YOU HAVE:
  • Experience. At least 3 years’ relevant experience, including, but not limited to: Statistical modelling and advanced machine learning techniques, including supervised and unsupervised methods, experience in cloud-based ML/AI technologies – preferably in the Snowflake and AWS environments, programming experience in Python and/or R (both preferred) and SQL, experience using big data (billion+ rows) across numerous systems and platforms, specifically in spotting and fixing standard data anomalies seen at this scale, experience in presenting amp; communicating complex projects to non-technical teams.
  • Education. Undergraduate degree in Computer Science, Machine Learning, Applied Statistics, Mathematics or a relevant Engineering discipline. Preferred masters level degree in a quantitative discipline such as computer science, mathematics, machine learning, applied statistics or relevant engineering discipline.
  • Technical Skills. Understanding of big data principles and technologies with working knowledge of data integration using established methodologies and technologies.
  • Attention to Detail. Ability to balance hands-on coding and modelling (existing and new models) on a frequent basis with being able to summarize findings and present insights to non-technical teams. Continuous Integration and Delivery (CI/CD) experience, preferably in Snowflake/AWS environments.
  • Collaboration amp; Drive. Team player with a collaborative mindset, always prioritizing impact for the business. Innovative mindset – relentless curiosity of big data and its ability to predict consumer behavior. Preferred experience in a retail setting and familiar with typical advanced analytic algorithms used, such as consumer segmentation, consumer lifetime value, propensity to purchase models and recommendation engines.
LOVE WHERE YOU WORK:
  • We care about your health. We offer competitive healthcare (health, dental, vision, coverage) in addition to voluntary benefits including home and car insurance, pet insurance, flexible spending account, amongst many more.
  • We invest in your future. Our 401K plan has immediate vesting, so you can start saving for retirement right away.
  • We believe in flexibility. We offer a hybrid schedule with on-site work 3 days a week.
  • We want you to unplug when needed. We believe in taking your time off without guilt and offer accrued paid time off and company paid holidays. *For Washington residents, you will receive 13 vacation days, 8 paid sick leave, 8 company paid holidays, and family paid leave.
  • We care about your development. We support tuition reimbursement after 6 months of service.
  • We believe in pay transparency. The salary range is $80,000 to $95,000 with annual bonus eligibility.
APPLICATION DEADLINE: July 31, 2026
ABOUT US:
Jostens leads the student commemoration market and has been serving local communities for over 125 years. We work with thousands of K-12 schools, colleges and universities each year, and have the honor of partnering with beloved sports teams and esteemed organizations across the country. Our iconic products — like yearbooks, letter jackets, class jewelry and championship rings — keep meaningful traditions alive and inspire millions of people to celebrate their unique stories, milestone moments and biggest accomplishments every year. We have 13 first-class facilities across the globe, from North America to the Caribbean. Watch a short video about us here.
AMERICANS WITH DISABILITIES ACT (ADA):
Jostens is committed to the full inclusion of all qualified individuals. If reasonable accommodation is required to fully participate in the job application or interview process, or to perform the essential functions of the position, please reach out to our HR team at recruiter@jostens.com or (952) 830-3300.
Jostens is an Equal Opportunity Employer and complies with applicable employment laws. EOE/M/F/Vet/Disabled are encouraged to apply.
California Privacy Policy: https://www.jostens.com/about/california-employee-privacy-policy

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